{"schemaVersion":"jobsearcher.job.v1","id":"b82aee33745ea9d73959757c","url":"https://jobsearcher.com/jobs/b82aee33745ea9d73959757c","canonicalUrl":"https://jobsearcher.com/jobs/b82aee33745ea9d73959757c","title":"Data Scientist","description":"DESCRIPTION\nIf you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/\n\nAbout Us:\n\nTwitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.\nWe’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.\n\nAbout the Role\n\nJoin the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them.\n\nYou'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge.\n\nThis role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA.\n\nYou can work in San Francisco, CA; New York, NY; or Seattle, WA\n\nYou Will\n\nApply causal inference methods where experimentation isn't feasible\nDevelop models and analyses that inform pricing, segmentation, and revenue optimization\nDesign, run, and analyze A/B experiments\nPartner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks\nBuild and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making\n\nPerks\n\nMedical, Dental, Vision & Disability Insurance\n401(k)\nMaternity & Parental Leave\nFlexible PTO\nAmazon Employee Discount\nBASIC QUALIFICATIONS\n3+ years of data scientist experience\nPREFERRED QUALIFICATIONS\nMaster's or PhD in Economics, Statistics, or a related quantitative field\nIndustry experience working on consumer products with high transaction volume (subscriptions, marketplaces, payments)\nHands-on experience with Airflow, SageMaker, or deploying ML models in production\nFamiliarity with modern causal ML methods (double ML, causal forests, heterogeneous treatment effects)\n\nTwitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually\nUSA, NY, New York - 153,400.00 - 207,500.00 USD annually\nUSA, WA, Seattle - 136,000.00 - 184,000.00 USD annually","company":"Twitch Interactive D48","rawCompany":"twitch interactive d48","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T20:13:55.255Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"516210","title":"Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers","slug":"media-streaming-distribution-services-social-networks-and-other-media-networks-and-content-providers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"DESCRIPTION\nIf you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/\n\nAbout Us:\n\nTwitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.\nWe’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.\n\nAbout the Role\n\nJoin the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them.\n\nYou'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge.\n\nThis role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA.\n\nYou can work in San Francisco, CA; New York, NY; or Seattle, WA\n\nYou Will\n\nApply causal inference methods where experimentation isn't feasible\nDevelop models and analyses that inform pricing, segmentation, and revenue optimization\nDesign, run, and analyze A/B experiments\nPartner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks\nBuild and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making\n\nPerks\n\nMedical, Dental, Vision & Disability Insurance\n401(k)\nMaternity & Parental Leave\nFlexible PTO\nAmazon Employee Discount\nBASIC QUALIFICATIONS\n3+ years of data scientist experience\nPREFERRED QUALIFICATIONS\nMaster's or PhD in Economics, Statistics, or a related quantitative field\nIndustry experience working on consumer products with high transaction volume (subscriptions, marketplaces, payments)\nHands-on experience with Airflow, SageMaker, or deploying ML models in production\nFamiliarity with modern causal ML methods (double ML, causal forests, heterogeneous treatment effects)\n\nTwitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually\nUSA, NY, New York - 153,400.00 - 207,500.00 USD annually\nUSA, WA, Seattle - 136,000.00 - 184,000.00 USD annually","datePosted":"2026-08-03T20:13:55.255Z","dateModified":"2026-08-03T20:13:55.255Z","hiringOrganization":{"@type":"Organization","name":"Twitch Interactive D48","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b82aee33745ea9d73959757c"},"url":"https://jobsearcher.com/jobs/b82aee33745ea9d73959757c"}}